GB2596438A - Computer model machine learning based on correlations of training data with performance trends - Google Patents
Computer model machine learning based on correlations of training data with performance trends Download PDFInfo
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- GB2596438A GB2596438A GB2112847.5A GB202112847A GB2596438A GB 2596438 A GB2596438 A GB 2596438A GB 202112847 A GB202112847 A GB 202112847A GB 2596438 A GB2596438 A GB 2596438A
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- computer implemented
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/901—Indexing; Data structures therefor; Storage structures
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/15—Correlation function computation including computation of convolution operations
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
- G06F18/2148—Generating training patterns; Bootstrap methods, e.g. bagging or boosting characterised by the process organisation or structure, e.g. boosting cascade
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computing arrangements using knowledge-based models
- G06N5/04—Inference or reasoning models
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- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- General Physics & Mathematics (AREA)
- Software Systems (AREA)
- General Engineering & Computer Science (AREA)
- Mathematical Physics (AREA)
- Evolutionary Computation (AREA)
- Artificial Intelligence (AREA)
- Computing Systems (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Life Sciences & Earth Sciences (AREA)
- Databases & Information Systems (AREA)
- Medical Informatics (AREA)
- Computational Linguistics (AREA)
- Computational Mathematics (AREA)
- Pure & Applied Mathematics (AREA)
- Mathematical Analysis (AREA)
- Mathematical Optimization (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Evolutionary Biology (AREA)
- Health & Medical Sciences (AREA)
- Biomedical Technology (AREA)
- Biophysics (AREA)
- General Health & Medical Sciences (AREA)
- Molecular Biology (AREA)
- Algebra (AREA)
- Debugging And Monitoring (AREA)
- Feedback Control In General (AREA)
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US16/295,062 US11809966B2 (en) | 2019-03-07 | 2019-03-07 | Computer model machine learning based on correlations of training data with performance trends |
| PCT/IB2020/051708 WO2020178687A1 (en) | 2019-03-07 | 2020-02-28 | Computer model machine learning based on correlations of training data with performance trends |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| GB202112847D0 GB202112847D0 (en) | 2021-10-27 |
| GB2596438A true GB2596438A (en) | 2021-12-29 |
Family
ID=72336425
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| GB2112847.5A Withdrawn GB2596438A (en) | 2019-03-07 | 2020-02-28 | Computer model machine learning based on correlations of training data with performance trends |
Country Status (6)
| Country | Link |
|---|---|
| US (2) | US11809966B2 (https=) |
| JP (1) | JP7413392B2 (https=) |
| CN (1) | CN113557535A (https=) |
| DE (1) | DE112020000227T5 (https=) |
| GB (1) | GB2596438A (https=) |
| WO (1) | WO2020178687A1 (https=) |
Families Citing this family (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11625642B2 (en) * | 2018-04-22 | 2023-04-11 | Trendalyze Inc. | Method for converting nominal to ordinal or continuous variables using time-series distances |
| US20200303060A1 (en) * | 2019-03-18 | 2020-09-24 | Nvidia Corporation | Diagnostics using one or more neural networks |
| US11562178B2 (en) * | 2019-04-29 | 2023-01-24 | Oracle International Corporation | Adaptive sampling for imbalance mitigation and dataset size reduction in machine learning |
| US11573833B2 (en) * | 2019-07-31 | 2023-02-07 | EMC IP Holding Company LLC | Allocating cores to threads running on one or more processors of a storage system |
| US20210233166A1 (en) * | 2020-01-28 | 2021-07-29 | David B. Coulter | System and Method Of Lender, Borrower, and Employee Driven Enrollment |
| US11494703B2 (en) * | 2020-02-26 | 2022-11-08 | Opendoor Labs Inc. | Machine learning model registry |
| US11568279B2 (en) * | 2020-06-09 | 2023-01-31 | Sap Se | Anomaly detection for automated information technology processes |
| US20220139571A1 (en) | 2020-11-03 | 2022-05-05 | Nuance Communications, Inc. | Communication System and Method |
| KR102493655B1 (ko) * | 2020-12-01 | 2023-02-07 | 가천대학교 산학협력단 | 인공지능 모델 훈련 데이터셋의 관리방법 |
| WO2022140433A1 (en) * | 2020-12-22 | 2022-06-30 | Nuance Communications, Inc. | Ai platform system and method |
| US12423614B2 (en) | 2021-05-31 | 2025-09-23 | International Business Machines Corporation | Faithful and efficient sample-based model explanations |
| KR20230027887A (ko) * | 2021-08-20 | 2023-02-28 | 삼성전자주식회사 | 트렌드를 이용한 뉴럴 네트워크 학습 방법 및 장치 |
| US12236384B1 (en) | 2022-06-27 | 2025-02-25 | Wells Fargo Bank, N.A. | Model automation |
| US20250086449A1 (en) * | 2023-09-12 | 2025-03-13 | Bo Deng | Gradient descent tunneling for error-free training |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20020169652A1 (en) * | 2001-04-19 | 2002-11-14 | International Business Mahines Corporation | Method and system for sample data selection to test and train predictive algorithms of customer behavior |
| CN104598981A (zh) * | 2013-10-31 | 2015-05-06 | 国际商业机器公司 | 生成装置、生成方法和程序 |
| CN106663037A (zh) * | 2014-06-30 | 2017-05-10 | 亚马逊科技公司 | 特征处理权衡管理 |
| US20180300792A1 (en) * | 2017-04-17 | 2018-10-18 | International Business Machines Corporation | Interpretable rule generation using loss-preserving transformation |
| US20180373979A1 (en) * | 2017-06-22 | 2018-12-27 | Adobe Systems Incorporated | Image captioning utilizing semantic text modeling and adversarial learning |
| CN109189767A (zh) * | 2018-08-01 | 2019-01-11 | 北京三快在线科技有限公司 | 数据处理方法、装置、电子设备及存储介质 |
Family Cites Families (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6879944B1 (en) | 2000-03-07 | 2005-04-12 | Microsoft Corporation | Variational relevance vector machine |
| AU2009251043A1 (en) | 2009-01-07 | 2010-07-22 | The University Of Sydney | A method and system of data modelling |
| US20110125734A1 (en) | 2009-11-23 | 2011-05-26 | International Business Machines Corporation | Questions and answers generation |
| US8458074B2 (en) * | 2010-04-30 | 2013-06-04 | Corelogic Solutions, Llc. | Data analytics models for loan treatment |
| US9454733B1 (en) | 2012-08-15 | 2016-09-27 | Context Relevant, Inc. | Training a machine learning model |
| DE102013213397A1 (de) | 2013-07-09 | 2015-01-15 | Robert Bosch Gmbh | Verfahren und Vorrichtung zum Bereitstellen von Stützstellendaten für ein datenbasiertes Funktionsmodell |
| US9489630B2 (en) * | 2014-05-23 | 2016-11-08 | DataRobot, Inc. | Systems and techniques for predictive data analytics |
| US20160358099A1 (en) | 2015-06-04 | 2016-12-08 | The Boeing Company | Advanced analytical infrastructure for machine learning |
| JP6703264B2 (ja) | 2016-06-22 | 2020-06-03 | 富士通株式会社 | 機械学習管理プログラム、機械学習管理方法および機械学習管理装置 |
| US20180025286A1 (en) | 2016-07-25 | 2018-01-25 | International Business Machines Corporation | Detecting trends in evolving analytics models |
| US12455778B2 (en) * | 2018-07-06 | 2025-10-28 | Capital One Services, Llc | Systems and methods for data stream simulation |
| US10528891B1 (en) * | 2018-08-23 | 2020-01-07 | SigOpt, Inc. | Systems and methods for implementing an intelligent machine learning optimization platform for multiple tuning criteria |
| US11392859B2 (en) * | 2019-01-11 | 2022-07-19 | Microsoft Technology Licensing, Llc | Large-scale automated hyperparameter tuning |
-
2019
- 2019-03-07 US US16/295,062 patent/US11809966B2/en active Active
-
2020
- 2020-02-28 DE DE112020000227.6T patent/DE112020000227T5/de active Pending
- 2020-02-28 JP JP2021547725A patent/JP7413392B2/ja active Active
- 2020-02-28 GB GB2112847.5A patent/GB2596438A/en not_active Withdrawn
- 2020-02-28 WO PCT/IB2020/051708 patent/WO2020178687A1/en not_active Ceased
- 2020-02-28 CN CN202080018682.2A patent/CN113557535A/zh active Pending
-
2023
- 2023-09-26 US US18/372,978 patent/US20240020579A1/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20020169652A1 (en) * | 2001-04-19 | 2002-11-14 | International Business Mahines Corporation | Method and system for sample data selection to test and train predictive algorithms of customer behavior |
| CN104598981A (zh) * | 2013-10-31 | 2015-05-06 | 国际商业机器公司 | 生成装置、生成方法和程序 |
| CN106663037A (zh) * | 2014-06-30 | 2017-05-10 | 亚马逊科技公司 | 特征处理权衡管理 |
| US20180300792A1 (en) * | 2017-04-17 | 2018-10-18 | International Business Machines Corporation | Interpretable rule generation using loss-preserving transformation |
| US20180373979A1 (en) * | 2017-06-22 | 2018-12-27 | Adobe Systems Incorporated | Image captioning utilizing semantic text modeling and adversarial learning |
| CN109189767A (zh) * | 2018-08-01 | 2019-01-11 | 北京三快在线科技有限公司 | 数据处理方法、装置、电子设备及存储介质 |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2020178687A1 (en) | 2020-09-10 |
| JP7413392B2 (ja) | 2024-01-15 |
| US20240020579A1 (en) | 2024-01-18 |
| US11809966B2 (en) | 2023-11-07 |
| DE112020000227T5 (de) | 2021-09-02 |
| CN113557535A (zh) | 2021-10-26 |
| JP2022522641A (ja) | 2022-04-20 |
| GB202112847D0 (en) | 2021-10-27 |
| US20200285899A1 (en) | 2020-09-10 |
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Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| WAP | Application withdrawn, taken to be withdrawn or refused ** after publication under section 16(1) |